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Matematicheskaya Biologiya i Bioinformatika, 2014, Volume 9, Issue 2, Pages 527–533 (Mi mbb194)  

This article is cited in 1 scientific paper (total in 1 paper)

Bioinformatics

Identification of Gene Markers for Aggressive Forms of Low-Grade Glioma Using TCGA Expression Data

N. V. Ivanisenkoab, N. V. Gubanovaab, N. A. Kolchanovb, V. A. Ivanisenkob

a Novosibirsk State University, Novosibirsk, Russia
b Institute of Cytology and Genetics SB RAS, Novosibirsk, Russia
Full-text PDF (607 kB) Citations (1)
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Abstract: Low-grade glioma is a group of tumors of central nervous system. Unlike other malignant subtypes such as glioblastoma multiforme, low-grade gliomas have a lower mortality. However, after initial treatment in about 40% of low-grade gliomas new tumor events are observed. In this study identification of new genes responsible for the aggressive phenotype of tumors was carried out using RNA-seq data from the The Cancer Genome Atlas (TCGA) database. It was found that 85 genes with affected expression levels were associated with new tumors after initial treatment of low-grade glioma.
Key words: low-grade glioma, RNA-seq, new tumor event, TCGA.
Received 27.11.2014, Published 18.12.2014
Document Type: Article
UDC: 577.21:577.29:004.42
Language: Russian
Citation: N. V. Ivanisenko, N. V. Gubanova, N. A. Kolchanov, V. A. Ivanisenko, “Identification of Gene Markers for Aggressive Forms of Low-Grade Glioma Using TCGA Expression Data”, Mat. Biolog. Bioinform., 9:2 (2014), 527–533
Citation in format AMSBIB
\Bibitem{IvaGubKol14}
\by N.~V.~Ivanisenko, N.~V.~Gubanova, N.~A.~Kolchanov, V.~A.~Ivanisenko
\paper Identification of Gene Markers for Aggressive Forms of Low-Grade Glioma Using TCGA Expression Data
\jour Mat. Biolog. Bioinform.
\yr 2014
\vol 9
\issue 2
\pages 527--533
\mathnet{http://mi.mathnet.ru/mbb194}
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  • https://www.mathnet.ru/eng/mbb/v9/i2/p527
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
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    Abstract page:212
    Full-text PDF :62
    References:29
     
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